Abstract
Tissue-characterizing magnetic resonance imaging (MRI) is a new imaging method for differentiation and biochemical characterization of tissue based on multidimensional MR-parameter information. To support knowledge acquisition in tissue-characterizing MRI, a new segmentation algorithm has been developed by using clustering techniques. The visualization of the complex biochemical MR-parameter information is performed by extraction of regions with similar biochemical properties. The clustering algorithm leads to an easy and comfortable handling of the complex tissue-characteristic MR information and supports knowledge acquisition for knowledge-based tissue characterization.
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Repges R, Tolxdorff T, Felsberg L, et al: Decomposition of multi-exponential transverse magnetization decays in T2-selective imaging employing the subsystem EVALUATE of RAMSES, in Lemke HU, Rhodes ML, Jaffee CC, et al (eds): Computer Assisted Radiology, Computerunterstützte Radiologie. New York, NY, Springer-Verlag, 1985, pp 25–29
Eis M, Handels H, Bohndorf K, et al: A new method for combined T1-measurement and multi-exponential T2-analysis in tissue characterizing MRI. Proc 8th Annual Meeting of the Society of the Magnetic Resonance in Medicine, Amsterdam, The Netherlands, 1989, p 770
Gersonde K, Tolxdorff T, Felsberg L: Identification and characterization of tissues by T2-selective whole body proton NMR-imaging. Magn Reson Med 1:390–401, 1985
Tolxdorff T, Felsberg L, Gersonde K: Proton NMR-imaging: Contrast-enhanced images and combination with parameter-selective images by overlay display technique, in Lemke HU, Rhodes ML, Jaffee CC, et al (eds): Computer Assisted Radiology. New York, NY, Springer-Verlag, 1987, pp 3–11
Tolxdorff T: Ein neues Software-System (RAMSES) zur Verarbeitung NMR-spektroskopischer Daten in der bildgebenden Diagnostik. Medizinische Informatik und Statistik 66. New York, NY, Springer-Verlag, 1987
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Handels, H., Tolxdorff, T. A new segmentation algorithm for knowledge acquisition in tissue-characterizing magnetic resonance imaging. J Digit Imaging 3, 89–94 (1990). https://doi.org/10.1007/BF03170567
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DOI: https://doi.org/10.1007/BF03170567